Quantitative Tools for Marketing Professionals

ICARE – International Center for Agribusiness Research and Education
invites you to participate in a videoconference training on
Quantitative Tools for Marketing Professionals
conducted by
Armenak Antinyan, PhD
(Tianjin University of Finance and Economics, China)

The 3-day training will take place on April 26-28, 2017.

International Center for Agribusiness Research and Education (ICARE).
Address: 74 Teryan Street, 0009 Yerevan.

18:30 – 20:00. For details, see the agenda below.

The working language of the training as well as the PowerPoint slides will be English.

Intermediate. Participants are expected to be familiar with basic concepts in econometrics and statistics (regression analysis, hypothesis testing, dummy variables) and SPSS.

The training is free of charge. While similar hands-on trainings are quite expensive, ICARE fully covers the associated expenses for the participants, thus staying true to its charitable, social, scientific, and educational commitments. Upon successful completion of the training, the participants will be awarded a certificate of participation. To qualify for the certificate, participants must be present in all sessions.

During the training, the participants will familiarize themselves with the basics of conjoint and cluster analysis, ANOVA, parametric and non-parametric tests. The distinctive feature of this training is that it will illustrate (some of) the tools necessary for the analysis of marketing data.

The purpose of the training is to introduce basic quantitative concepts that can be applied in data analysis using SPSS. The training is intended for business executives, business consultants, business analysts, market researchers, business students, and other interested parties that deal with data.

After completing this training, participants will:
• Understand the basics of cluster and conjoint analysis
• Get acquainted with the main parametric and non-parametric tests
• Use SPSS for parametric and non-parametric testing, cluster and conjoint analysis

During the training we will use SPSS. The trial copy of SPSS with all the functionality and capabilities of the single user license which will operate for 30 days will be installed on your notebook by the training organizers before the start of the training free of charge.

A combination of PowerPoint presentations and in-class computer exercises will be used (the participants must bring their own notebooks to every session). The participants will be provided with training material ahead of time. A dynamic discussion and exchange of ideas through interactive class participation will be strongly encouraged.

Dr. Armenak Antinyan is a tenure-track assistant professor at Tianjin University of Finance and Economics, China. Previously he was the research director at CRRC-Armenia, an adjunct lecturer at Agribusiness Teaching Center and the American University of Armenia, a postdoctoral fellow at the University of Erlangen-Nuremberg, Germany, a visiting fellow at the University of Innsbruck, Austria, and a research assistant at the University of St. Gallen, Switzerland. He also serves as a consultant for development organizations. Dr. Antinyan obtained his Ph.D. in Behavioral and Experimental Economics from the Graduate School of Economics and Management at the University of Venice, Italy. Prior to doctoral studies he received MA in Quantitative Economics (double degree) from the University Paris 1 Pantheon-Sorbonne, France, and the University of Venice, Italy, as well as BSc in Economics from Yerevan State University, Armenia.

If interested, please register for the training by filling out the attached registration form (in English) and emailing it to the training coordinator, Mary Melkonyan at melkonyanmary@gmail.com. Registration deadline is April 23rd, 18:00. The seating is limited. ONLY SHORTLISTED APPLICANTS WILL BE NOTIFIED FOR PARTICIPATION.

If you have questions, please contact Mary Melkonyan or call at 094 47-77-06.

Date Time Topics
April 26 18:30 – 20:00 Conjoint Analysis with an Applied Example
April 27 18:30 – 20:00 Cluster Analysis with an Applied Example
April 28 18:30 – 20:00 ANOVA, non-parametric and parametric tests

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